MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.

Skills you'll gain: LangChain, LLM Application, Prompt Patterns, Prompt Engineering, Model Deployment, Large Language Modeling, Token Optimization, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, MLOps (Machine Learning Operations), Cloud Deployment, Fine-tuning, Containerization, LLM Application, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Scalability, Memory Management
Advanced · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Containerization, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Extract, Transform, Load, Data Pipelines, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, AI Integrations, Agentic systems, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, Memory Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Model Training, Google Cloud Platform, Data Preprocessing, Forecasting, Feature Engineering, Cloud Deployment, Data Transformation, Recurrent Neural Networks (RNNs), Model Optimization, Applied Machine Learning, Continuous Monitoring, Deep Learning
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Model Training, Google Cloud Platform, Model Optimization, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Applied Machine Learning, Cloud Deployment, Cloud Storage, Machine Learning, Data Management
Intermediate · Project · Less Than 2 Hours

Coursera
Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms
Intermediate · Course · 1 - 3 Months